research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
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420-450 / 1000+ results research Abstract ED05-04: Presurgical models to effectively screen preventive agents
Presurgical models can effectively and affordably screen cancer prevention agents.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Topical minoxidil in the treatment of androgenetic alopecia in women.
2% topical minoxidil helps hair regrowth in women with androgenetic alopecia.
research The Importance of Readability: A Guide to Understanding Alopecia Areata through Multilingual Online Resources
Online articles about alopecia areata are too hard to understand and need to be clearer.
research Nutraceuticals for Androgenetic Alopecia.
Nutrafol® and Viviscal® can slightly help hair growth in hair loss.
research Platelet-Rich Plasma Monotherapies for Androgenetic Alopecia: A Network Meta-Analysis and Meta-Regression Study
More frequent PRP sessions with shorter intervals improve hair loss treatment.
research Combination Therapy in Androgenetic Alopecia: A Network Meta-Analysis of Minoxidil and Other Pharmacological Agents
research The Comparative Effects of Monotherapy with Topical Minoxidil, Oral Finasteride, and Topical Finasteride in Postmenopausal Women with Pattern Hair Loss: A Retrospective Cohort Study
Oral finasteride seems more effective for hair loss in postmenopausal women, but more research is needed.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Modeling cell–cell communication for immune systems across space and time
The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Androgenetic alopecia in the stump-tailed macaque: an important model for investigating the pathology and antiandrogenic therapy of male-pattern baldnessp
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Decision letter: A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning
Understanding hair follicle communication can help treat hair loss.
research Amendments to Organizational Theorizing.
Karl E. Weick suggested focusing on everyday events and smaller groups to improve organizational theory and urged the inclusion of nonobvious aspects for better explanations.
research Chaos and antichaos in pathology
Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
research Development of Universal Flight Trajectory Calculation Method for Unguided Projectiles
A new method accurately predicts the flight path of unguided projectiles.
research En pacientes jóvenes, el uso de finasteride podría asociarse con mayor riesgo de ansiedad, depresión y eventos adversos relacionados con el suicidio
Young patients using finasteride may have higher risks of anxiety, depression, and suicidal thoughts.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.